The retail industry is experiencing unprecedented dynamics as it pivots to a true omni-channel shopping experience. RDSolutions is providing retailers with consultation and critical data services to define, monitor and react to their ever-changing customer preferences and competitor advances, enabling them to make million-dollar decisions based on the insights provided.
Requirements
- Proficiency in Python, especially with Pandas and PySpark.
- Experience with SSRS and PowerBI for reporting and visualization.
- Understanding of data engineering concepts and ETL processes.
- Exposure to AI/ML concepts and techniques.
- Knowledge of Databricks or willingness to learn.
Responsibilities
- Analyze and process large datasets using Python (Pandas, PySpark).
- Develop, maintain, and optimize reports and dashboards using SSRS and PowerBI.
- Build and maintain data pipelines and ETL workflows.
- Apply AI/ML techniques to extract insights and build predictive models.
- Collaborate with stakeholders to understand data requirements and deliver actionable insights.
- Work with Databricks for scalable data engineering tasks.
- Visualize data and communicate findings effectively.
Other
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field and minimum of 3 years of experience
- Strong analytical and problem-solving skills.
- Excellent planning, organizational, communication, and time management skills.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (recent graduates welcome).
- Opportunity to work on a hybrid schedule – Tue/Wed/Thu onsite in our corporate headquarters office.
